Implements rigorous data exploration and statistical testing patterns for scientific research and analysis.
The Data Analysis skill equips Claude with specialized patterns for deep data exploration, statistical validation, and scientific reporting. It goes beyond simple data loading by providing robust workflows for assumption checking (such as normality and homogeneity), multiple confidence interval methods (including Bootstrap and Wilson), and various effect size calculations. This ensures that researchers and analysts can produce high-integrity findings using both parametric and non-parametric statistical methods, making it an essential tool for evidence-based decision making and academic research.
主な機能
01Automated Exploratory Data Analysis (EDA) and descriptive statistics
02Statistical assumption validation with normality, homogeneity, and independence checks
